Senior Associate Lending Strategy Analyst Senior Associate Lending Strategy Analyst …

Goldman Sachs
in Richardson, TX, United States
Permanent, Full time
Be the first to apply
Goldman Sachs
in Richardson, TX, United States
Permanent, Full time
Be the first to apply
Senior Associate Lending Strategy Analyst


The firms Consumer business, Marcus by Goldman Sachs, combines the entrepreneurial spirit of a startup with more than 150 years of experience. Today, we serve millions of customers across multiple products including lending, deposits, financial tools, and our partnership with Apple on Apple Card. We use innovative design, data, engineering and other core capabilities to provide customers with powerful tools and products that are grounded in value, transparency and simplicity. As we build a leading digital consumer bank and expand into new products and partnerships, we are looking for leaders and individual contributors to join our team.


We are a team of critical thinkers working with groups across all areas of the firm to design and deliver industry-leading solutions for the consumer businesses that also help to transform the broader Bank. From day one, team members play a vital role in upholding our principles of customer focus, process innovation and risk management. The Fraud Strategy team reports into the Chief Risk Officer for the Consumer Marcus business.  This is a high impact and fast paced role with an opportunity to develop baseline strategies for new business initiates as well as optimize existing fraud programs. 


In your role on the Fraud Strategy team for the Marcus Lending business, you will be responsible for the design, development and execution of a comprehensive fraud strategy and supporting management information systems and management reporting. This role requires the candidate to be able to analyze fraud trends, develop fraud strategies and implement the fraud rules needed to address current as well as evolving fraud threats. 

The ideal candidate will have expertise in the prevention of both Identity and 1st party fraud. The ideal candidate will also have a passion for use of innovative technology-driven solutions to provide world class customer experiences within the established risk thresholds of the business and experience leveraging multiple disparate data sources in an integrated decision engine in order to make real time decisions on applicants. The candidate must be able to collaborate across divisions to deliver enterprise fraud initiatives and have experience working with internal and external governance teams including Fraud Operations, Financial Crimes (AML), Compliance, Decision Sciences and Technology. 



  • Use a data-driven approach to understand fraud risk and design effective Identity theft and other fraud prevention program
  • Develop innovative solutions for strategy enhancement and portfolio monitoring
  • Provide recommendation for enhancement to the fraud strategy
  • Participate in Product, Product strategy, data architecture decisions and partner with technology teams to implement strategies in production
  • Identify and develop process improvements to maximize efficiency of fraud detection activities as required
  • Research and remain current on the latest industry fraud trends and recommend tools, services and practices for improvement
  • Review, evaluate and drive selection of new vendors or technologies to enhance the fraud strategy and mitigate emerging risks
  • Work directly with the Fraud Operations leadership team responsible for execution of the fraud strategy


  • At least 3 years+ of relevant industry experience in fraud prevention strategy and analytics
  • Bachelors (Masters preferred) degree in Mathematics, Statistics, Economics, Engineering or a related field
  • Well versed in all loss types and can readily identify the characteristics of each when present on an account including identity theft and 1st party fraud
  • Experience with developing comprehensive data-driven risk management strategy
  • Experience with utilizing R, Python for statistical analysis
  • Experience with developing comprehensive risk management reports using SQL or a similar database query language for extracting data from large datasets
  • Strong organizational skills and attention to details
  • Proactive, flexible and ability to multi-task 
  • Strong communication skills


  • Experience with data visualization products such as Tableau
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